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import gradio as gr | |
from transformers import AutoProcessor, AutoTokenizer, AutoImageProcessor, AutoModelForCausalLM, BlipForConditionalGeneration, Blip2ForConditionalGeneration, VisionEncoderDecoderModel | |
import torch | |
import open_clip | |
from huggingface_hub import hf_hub_download | |
torch.hub.download_url_to_file('http://images.cocodataset.org/val2017/000000039769.jpg', 'cats.jpg') | |
torch.hub.download_url_to_file('https://huggingface.co/datasets/nielsr/textcaps-sample/resolve/main/stop_sign.png', 'stop_sign.png') | |
torch.hub.download_url_to_file('https://cdn.openai.com/dall-e-2/demos/text2im/astronaut/horse/photo/0.jpg', 'astronaut.jpg') | |
blip2_processor_8_bit = AutoProcessor.from_pretrained("Salesforce/blip2-opt-6.7b") | |
blip2_model_8_bit = Blip2ForConditionalGeneration.from_pretrained("Salesforce/blip2-opt-6.7b", device_map="auto", load_in_8bit=True) | |
device = "cuda" if torch.cuda.is_available() else "cpu" | |
def generate_caption(processor, model, image, tokenizer=None, use_float_16=False): | |
inputs = processor(images=image, return_tensors="pt").to(device) | |
if use_float_16: | |
inputs = inputs.to(torch.float16) | |
generated_ids = model.generate(pixel_values=inputs.pixel_values, max_length=50) | |
if tokenizer is not None: | |
generated_caption = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0] | |
else: | |
generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[0] | |
return generated_caption | |
def generate_captions(image): | |
caption_blip2_8_bit = generate_caption(blip2_processor_8_bit, blip2_model_8_bit, image, use_float_16=True).strip() | |
return caption_blip2_8_bit | |
examples = [["cats.jpg"], ["stop_sign.png"], ["astronaut.jpg"]] | |
outputs = [gr.outputs.Textbox(label="Caption generated by BLIP-2 OPT 6.7b")] | |
title = "Interactive demo: Image captioning BLIP2 model" | |
description = "Gradio Demo of BLIP-2, 4 state-of-the-art vision+language models. To use it, simply upload your image and click 'submit', or click one of the examples to load them. Read more at the links below." | |
article = "<p style='text-align: center'><a href='https://huggingface.co/docs/transformers/main/model_doc/blip' target='_blank'>BLIP docs</a> | <a href='https://huggingface.co/docs/transformers/main/model_doc/git' target='_blank'>GIT docs</a></p>" | |
interface = gr.Interface(fn=generate_captions, | |
inputs=gr.inputs.Image(type="pil"), | |
outputs=outputs, | |
examples=examples, | |
title=title, | |
description=description, | |
article=article, | |
enable_queue=True) | |
interface.launch(debug=True) | |